Salesforce Administrator/ Business Analyst

London
1 year ago
Applications closed

Related Jobs

View all jobs

Business Data Analyst Salesforce & Excel/VBA

Data Engineer

Data Analyst (Salesforce & Excel)

Data Analyst (Salesforce & Excel)

Data Analyst

Marketing Data Analyst

Salesforce Administrator - Hybrid, West London - £36k

Are you a Salesforce person looking to make a significant impact?

This business builds machine learning models which predicts consumer behavior.

So they understand that the inner workings of their business needs to work seamlessly to be successful.

You will work directly with the Chief revenue officer to optimize the use of Salesforce within their organization. Your knowledge of Salesforce's capabilities, including configuration, customization, and integration, will support business processes and drive efficiency.

We are looking for someone who knows how to work with CRM systems to deliver the best results, you can learn salesforce if you have experience with similar products.

If you would like to upskill then this role with definitely be for you.

Some of your responsibilities:

Design, develop, and implement Salesforce solutions to meet business needs.
Configure and customize Salesforce, including workflows, dashboards, reports, and custom objects.
Collaborate with the Marketing and Sales teams to develop and maintain in-depth reports and analytics that track sales funnels and marketing efficiency.
Manage Salesforce integrations with other business systems and applications.
Automate Salesforce processes and support system integration.
Provide sales support and troubleshoot Salesforce-related issues promptly.
Train and support users to maximize their use of the platform.
Manage user accounts, onboarding, and offboarding, ensuring clean and accurate data.
Stay up-to-date with Salesforce updates and features to recommend improvements.Benefits

25 days holiday
Hybrid office + flexible WFH
Pension contribution
Life insurance
Critical illness cover
Daily office lunch
Office snacks/drinks
Subsidized gym membership
Cycle to work scheme

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.